Making e-Learning Better Through Machine Learning

Due to massive information overload on the web it's hard to index and reuse existing learning resources. Classifying learning resources according to domain specific concept hierarchies could deal the problem of indexing and reusability. Manual classification is a tedious task and as a result automatic classifiers are in high demand. For this task we present an automated approach based on machine learning technique to exploit hierarchal knowledge in order to classify learning resources in a given hierarchy of concepts. We show by experientation that using hierarchical information and content of unclassified documents provides better accuracy